ExploreASL/ExploreASL: ExploreASL v1.7.0
Bibliographic record
Abstract
ExploreASL v1.7.0 Versions included software Versions included & used third-party tools (see <code>/External/README_SPM.txt</code>): SPM12 7219 CAT12 r1615 LST 2.0.15 Feature improvements Issue #455: Automatically compare results of TestDataSets with a saved reference results Issues #480, #623, #649, #661: Restructure <code>x</code>: <code>x.opts</code> (input arguments and their derivatives), <code>x.dir</code> (directories), <code>x.settings</code> (mostly booleans for pipeline settings), <code>x.dataset</code> (dataset related fields), <code>x.external</code>, ... Issue #572: Restructure JSON handling during NiFTI to BIDS import Issue #580: Add parsing of Gold Standard Phantoms <strong>ASL-DRO</strong> Issues #588, #612: <code>ExploreASL</code> reads folders and automatically searches for <strong>sourceStructure</strong>, <strong>studyPar</strong> and <strong>dataPar</strong> JSON files Issue #600: Put participants.tsv to the derivatives folder during import to legacy ExploreASL format Issue #602: Remove option for cloning the NIfTI output after import as BIDS directory is a read-only archive Issue #603: Give ExploreASL version in JSON files after BIDS to Legacy conversion Issue #631: Remove repeated warnings Issue #632: Add comparison script for untouched NIfTI comparison Issue #643: <code>bids.layout</code>: avoid printing the same warning repetitively in case multiple scans in a data set have the same issue Issue #656: Improve warnings (data loading) Bug fixes Issue #583: Proper testing of flavors using ExploreASL_Master Issue #584: Print the subject name depending on the existence of its definition in <code>x.SUBJECT</code> to avoid crashes for error reporting in the population module Issue #586: Avoid crashing <code>xASL_adm_GetPopulationSessions</code> if no sessions are found Issue #591: <strong>MultiTE</strong> import puts TE before PLD in the time series and corrects the JSON output Issue #618: Add session name to all M0Check and ASLCheck QC files in the Population folder Issue #620: <code>xASL_adm_GzipAllFiles</code>: Allow spaces in an input path for macOS/Linux Issue #625: Fix bug related to session format Issue #627: Remove a BIDS fiels and BIDS2Legacy should crash and show you why it crashed Issue #628: Fix parsing sessions and runs for converting rawdata to derivatives Issue #630: Move creation of population folder Issue #646: Improve BIDS warnings Issue #652: <code>xASL_vis_CreateVisualFig</code>: allow empty overlays Issue #659: <code>xASL_stat_PrintStats</code>: Fix visits bug (legacy format) Issue #655: <code>xASL_adm_GetPopulationSessions</code> gave incorrect warnings Issue #666: Warning when multiple <code>dataPar*.json</code> or <code>studyPar*.json</code> or <code>sourcestructure*.json</code> are present Issue #670: Fix warnings and behavior of <code>ExploreASL_Initialize</code> Other improvements Issue #465: Add projects to acknowledgments Issue #615: Add change log to documentation Issue #637: Restyle ExploreASL change log
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.003 | 0.003 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 0.009 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; both teacher heads agree on what is shown here.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".